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El-Hajj, Z. W.

Publications and source records attributed to El-Hajj, Z. W..

4 recordsLinked to original sources

Cell Size Modulates SBF and Whi5 Chromatin Binding to Regulate the Start of the Budding Yeast Cell Cycle

Cell growth and division are tightly coordinated to cell size. In budding yeast, increasing cell size promotes the G1/S transition, called Start, by activating the transcription factor SBF, which drives a large fraction of cell-cycle-dependent gene expression. Part of this regulation arises because the concentration of the SBF inhibitor Whi5 decreases as cells grow. However, cells lacking Whi5 can still maintain a relatively accurate size when the SBF activator Cln3 is also removed, indicating that there are additional size control mechanisms. To understand how cell size is mechanistically translated into the activity of SBF-regulated promoters, we quantified the binding kinetics of Whi5 and SBF in live cells using single-molecule fluorescence microscopy. We found that increasing cell size is associated with both a decreased chromatin affinity of Whi5 and an increased chromatin affinity of SBF, accompanied by a higher SBF:Whi5 cell copy-number ratio. Chromatin-binding trends under basal and Whi5 overexpression conditions indicate that Whi5 restricts SBF association with chromatin. The transition point at which SBF binding overtakes Whi5 binding coincides with the onset of the expression of the G1 cyclins CLN1 and CLN2, two SBF targets that are important for committing cells to division. Reduced Whi5 binding reflects changes in its chromatin-association rate, as Whi5 and SBF dwell times on chromatin remain [~]10 s and are largely independent of cell size. Together, these results show how changes in SBF and Whi5 abundance and chromatin association transmit cell size information to the genome to regulate the size-dependent Start transition in budding yeast.

cell biology↗

The Rtf1/Prf1-dependent histone modification axis and Rpb1 C-terminal domain phosphorylation counteract multi-drug resistance in fission yeast

AbstractRNA polymerase II (RNAPII) transcription elongation directs an intricate pattern of histone modifications. Formation of this pattern involves a highly conserved regulatory axis, key components of which are the elongation factor Rtf1, monoubiquitylation of histone H2B (H2Bub1), and methylation of histone H3 on lysine 4 (H3K4me). Direct contact between Rtf1 and the ubiquitylation complex Rad6-Bre1 stimulates H2Bub1, which in turn promotes H3K4me by stimulating the activity of the Set1C/COMPASS methyltransferase complex. Previous studies have defined the molecular basis for these regulatory relationships, but it remains unclear how they regulate chromatin and transcription in vivo. We found that mutations affecting multiple components of the Rtf1-H2Bub1-H3K4me axis in the model eukaryote Schizosaccharomyces pombe (fission yeast) caused resistance to the ribonucleotide reductase inhibitor hydroxyurea (HU). Resistance correlated with a reduced effect of HU on dNTP pools, bypass of the S-phase checkpoint in the presence of HU, and blunting of the transcriptional response to HU treatment. Mutations in the C-terminal repeat domain (CTD) of the RNAPII large subunit Rpb1 led to a similar spectrum of phenotypes. Moreover, all the HU resistant mutants we identified also exhibited resistance to several azole class antifungal agents. Our results suggest a novel, shared gene regulatory function of the Rtf1-H2Bub1-H3K4me axis and the Rpb1 CTD in controlling fungal drug tolerance.

molecular biology↗

Bound2Learn: A Machine Learning Approach for Classification of DNA-Bound Proteins from Single-Molecule Tracking Experiments

DNA-bound proteins are essential elements for the maintenance, regulation, and use of the genome. The time they spend bound to DNA provides useful information on their stability within protein complexes and insight into the understanding of biological processes. Single-particle tracking allows for direct visualization of protein-DNA kinetics, however, identifying whether a molecule is bound to DNA can be non-trivial. Further complications arise when tracking molecules for extended durations in processes with slow kinetics. We developed a machine learning approach, termed Bound2Learn, using output from a widely used tracking software, to robustly classify tracks in order to accurately estimate residence times. We validated our approach in silico, and in live-cell data from Escherichia coli and Saccharomyces cerevisiae. Our method has the potential for broad utility and is applicable to other organisms.

biophysics↗

Processive activity of the replicative DNA polymerases in the replisome of live eukaryotic cells

DNA replication is carried out by a multi-protein machine called the replisome. In Saccharomyces cerevisiae, the replisome is composed of over 30 different proteins arranged into multiple subassemblies, each performing distinct activities. Synchrony of these activities is required for efficient replication and preservation of genomic integrity. How this is achieved is particularly puzzling at the lagging strand, where current models of the replisome architecture propose turnover of the canonical lagging strand polymerase, Pol {delta}, at every cycle of Okazaki fragment synthesis. Here we established single-molecule fluorescence microscopy protocols to study the binding kinetics of individual replisome subunits in live S. cerevisiae. Our results show long residence times for most subunits at the active replisome, supporting a model where all subassemblies bind tightly and work in a coordinated manner for extended periods, including Pol {delta}, hence redefining the architecture of the active eukaryotic replisome.

molecular biology↗